Unlock the value of your data
MongoDB Atlas Data Lake is a fully managed data lake query service that allows you to natively query and combine data across MongoDB Atlas and AWS S3 without complex integrations. You can federate queries across live and historical data or seamlessly combine and transform data across storage tiers without time-consuming ETL processes. Analyze your richly structured data stored in JSON, BSON, CSV, TSV, Avro, ORC and Parquet formats.
MongoDB Atlas Data Lake allows you to query your AWS S3 data in-place and in its native format. Simply spin up a cloud data lake with a few clicks from the MongoDB Atlas UI and connect to your own AWS S3 buckets to begin querying and analyzing your data.
MongoDB Atlas Data Lake is a self-serve application that can be accessed and set up through the MongoDB Atlas control plane. Create and connect to a data lake, configure databases and collections from multiple data sources, and run powerful aggregations using the MongoDB Query API and tools.
You can get started by connecting your own data - from a MongoDB Atlas database, AWS S3 or HTTP(S) store - or using a sample dataset. For data archival, you can leverage Atlas Online Archive to automatically offload your cold data to a fully-managed Data Lake to reduce storage costs.